diff --git a/src/app.py b/src/app.py
index 76721a1..5a66ec8 100644
--- a/src/app.py
+++ b/src/app.py
@@ -189,11 +189,11 @@ def gen_frames_raw():
             continue
 
         # OPTIONAL
-        # rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        # face_locations = face_recognition.face_locations(rgb_frame)
+        rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        face_locations = face_recognition.face_locations(rgb_frame)
 
-        # for (top, right, bottom, left) in face_locations:
-        #     cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
+        for (top, right, bottom, left) in face_locations:
+            cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
 
         ret, buffer = cv2.imencode('.jpg', frame)
         if not ret:
diff --git a/src/face_rec_no_gui.py b/src/face_rec_no_gui.py
index f2c2272..b470f12 100644
--- a/src/face_rec_no_gui.py
+++ b/src/face_rec_no_gui.py
@@ -17,36 +17,59 @@ if not cap.isOpened():
 
 known_face_encodings, known_face_names = load_encodings()
 
-def run_recognition():
-    global last_trigger_time, known_face_encodings, known_face_names
-    while True:
-        current_time = time.time()
-        if current_time - last_trigger_time < COOLDOWN:
-            time.sleep(0.5)
-            continue
+import time
 
+def run_recognition():
+    global known_face_encodings, known_face_names
+    grace_period = 2.0
+
+    while True:
         ret, frame = cap.read()
         if not ret:
             print("Error: Could not read frame.")
             continue
 
         face_locations, face_names = process_frame(frame, known_face_encodings, known_face_names)
-        triggered = False
+
+        recognized_face_found = False
         for face, name in zip(face_locations, face_names):
             if name != "Unknown":
                 print(f"Detected: {name}")
                 log_recognition(name)
                 subprocess.run(["python", "open_door.py"], check=True)
-                last_trigger_time = time.time()
-                flush_camera(cap, flush_time=2.0)
-                triggered = True
+                recognized_face_found = True
                 break
-            else:
-                print("Detected: Unknown")
-        if triggered:
-            print("Cooldown activated. Waiting before next recognition...")
-        time.sleep(1)
-    cap.release()
+
+        if recognized_face_found:
+            print("Checking for face departure with debounce...")
+            last_seen_time = None
+
+            while True:
+                ret, frame = cap.read()
+                if not ret:
+                    continue
+                face_locations, face_names = process_frame(frame, known_face_encodings, known_face_names)
+
+                face_present = any(name != "Unknown" for name in face_names)
+                current_time = time.time()
+
+                if face_present:
+                    print("Face still present, resetting debounce timer...")
+                    last_seen_time = current_time
+                else:
+                    if last_seen_time is None:
+                        last_seen_time = current_time
+                        print("Face not detected, starting debounce timer...")
+                    elif current_time - last_seen_time >= grace_period:
+                        print("Face gone for grace period, resuming recognition.")
+                        break
+                    else:
+                        print(f"Face gone, waiting for debounce: {grace_period - (current_time - last_seen_time):.1f}s")
+
+                time.sleep(0.2)
+        else:
+            print("No known face detected.")
+            time.sleep(0.5)
 
 if __name__ == "__main__":
     run_recognition()